nan
196b964efc
- Implemented `cutout_shell.py` to build front normals and shell positions for balloon geometry. - Created `cutout_volume.py` to establish smooth center fields and manage balloon surface attributes. - Introduced `pisa_sr_export.py` for exporting PiSA-SR components with dependencies and asset finalization.
22 lines
1.1 KiB
Plaintext
22 lines
1.1 KiB
Plaintext
PiSA-SR ONNX models for AnyImage
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PiSA-SR: Lingchen Sun and contributors, https://github.com/csslc/PiSA-SR
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Source commit: 9c76e12e261d1980148738a0cff41e5e27d18c9f
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PiSA-SR is released under Apache License 2.0; see LICENSE-APACHE.txt.
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Stable Diffusion 2.1: Copyright (c) 2022 Stability AI and contributors.
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Base weights: sd2-community/stable-diffusion-2-1-base
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Revision: 4e63672c03103b6c636b8fb4119ba982469b2955
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Base weights and derivatives are subject to CreativeML Open RAIL++-M,
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including paragraph 5 and Attachment A use restrictions. All users must
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comply with these terms; see the accompanying LICENSE-MODEL.txt.
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License copy: sd2-community/stable-diffusion-2, LICENSE-MODEL.
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AnyImage modifications: merged pixel and semantic LoRA adapters, FP16
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ONNX conversion, fixed empty prompt and timestep, VAE encoder/decoder
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separation. Runtime combines pixel/full predictions at semantic strength 0.7.
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noise.npy contains a fixed seed 42 latent noise field.
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ONNX architecture derives from Hugging Face Diffusers and PiSA-SR.
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Copyright 2023 The HuggingFace Team. All rights reserved.
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